Versioned prompts. Automated evaluation. Full governance. Turn informal AI experimentation into a structured engineering workflow.
Every primitive you need to treat AI development as a real engineering discipline — not a collection of sticky notes.
Side-by-side diff view for every publish. Know precisely what changed and roll back instantly if quality drops.
Browse the full history of any prompt. View, compare, or restore any published version in one click.
Every publish is immutable and requires a changelog. No more "updated prompt" with no context. Your team always knows what changed and why.
Run any prompt version through an LLM judge. Get scored on four pillars with step-by-step reasoning. Pass or fail — no subjectivity.
Set expected output, acceptance criteria, and critical failure conditions. The judge evaluates against YOUR standard — not a generic rubric.
Run Score A vs B across models or versions simultaneously. The judge renders a final automated verdict. Data wins, opinions lose.
Inspect raw JSON payloads, execution metadata, and provider-specific details. Know exactly what your prompts cost — down to the cent, per run.
Inspect the full model response, provider metadata, modelId, and itemId for every generation slot. Debug unexpected outputs systematically — not by vibes.
Pick from 6 frontier models to evaluate your prompt. GPT-4o, Claude Sonnet 4, Gemini 1.5 Pro — use the model you trust to judge the model you ship.
Every action by every team member — logged, timestamped, and linked to its exact diff. Your organization's AI actions are fully traceable.
Role-based access with email invitations. Members get a beautiful onboarding email and can accept directly. Owner/member role management built in.
Create organizations for each client or department. Group prompts into features. Scale without chaos or context switching.
Stop managing prompts in Notion. Start treating them like the production assets they are.